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This method decomposes a multiclass problem to many binary sub-problems and makes a dichotomizer for each sub-problem.
The proposed method decomposes a complex multi-class problem into a set of two-class problems, each of which can be regarded as an individual problem.
The dynamic programming method decomposes a multi-stage optimization problem into single-stage optimization problem by stage division, which is an effective algorithm to solve the problem.
BD method decomposes a multi-user MIMO channel into multiple single user MIMO channels in parallel to completely cancel the CCI by making use of the null space.
This method decomposes a single measure of Granger causality into a spectrum.
The EMD method decomposes a signal into n "intrinsic mode functions," where each function is characterized by a dominant frequency equal to the sampling frequency divided by 2 n +1.
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Classical methods decompose a project into several work groups which are then scheduled.
These methods decompose a signal into a finite number of components on which the time frequency analysis can be applied more effectively.
The EMD method is an empirical method, which decomposes a nonlinear and non-stationary signal into a series of intrinsic mode functions (IMFs) [12].
This method decomposes the relevant factors affecting an economic system, factors that relate mainly to production and employment changes.
The FFT as a signal processing method decomposes time-varying signals to frequency space from which amplitude and phase information can be extracted.
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